Artikel mit Open-Access-Mandaten - Jack UmenbergerWeitere Informationen
Verfügbar: 18
On the smoothness of nonlinear system identification
AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre
Automatica 121, 109158, 2020
Mandate: Swedish Research Council
Maximum likelihood identification of stable linear dynamical systems
J Umenberger, J Wågberg, IR Manchester, TB Schön
Automatica 96, 280-292, 2018
Mandate: Australian Research Council, Swedish Research Council
Robust exploration in linear quadratic reinforcement learning
J Umenberger, M Ferizbegovic, TB Schön, H Hjalmarsson
Advances in Neural Information Processing Systems 32, 2019
Mandate: Swedish Research Council
Stabilizing dynamical systems via policy gradient methods
J Perdomo, J Umenberger, M Simchowitz
Advances in neural information processing systems 34, 29274-29286, 2021
Mandate: US National Science Foundation, US Department of Defense
Specialized interior-point algorithm for stable nonlinear system identification
J Umenberger, IR Manchester
IEEE Transactions on Automatic Control 64 (6), 2442-2456, 2018
Mandate: Australian Research Council
Real-time planning with primitives for dynamic walking over uneven terrain
IR Manchester, J Umenberger
2014 IEEE international conference on robotics and automation (ICRA), 4639-4646, 2014
Mandate: Australian Research Council
Learning robust LQ-controllers using application oriented exploration
M Ferizbegovic, J Umenberger, H Hjalmarsson, TB Schön
IEEE Control Systems Letters 4 (1), 19-24, 2019
Mandate: Knut and Alice Wallenberg Foundation
Globally convergent policy search for output estimation
J Umenberger, M Simchowitz, J Perdomo, K Zhang, R Tedrake
Advances in Neural Information Processing Systems 35, 22778-22790, 2022
Mandate: US National Science Foundation, US Department of Defense
Convex bounds for equation error in stable nonlinear identification
J Umenberger, IR Manchester
IEEE control systems letters 3 (1), 73-78, 2018
Mandate: Australian Research Council
Identification of externally positive systems
C Grussler, J Umenberger, IR Manchester
2017 IEEE 56th annual conference on decision and control (CDC), 6549-6554, 2017
Mandate: Australian Research Council, Swedish Research Council
Scalable identification of stable positive systems
J Umenberger, IR Manchester
2016 IEEE 55th Conference on Decision and Control (CDC), 4630-4635, 2016
Mandate: Australian Research Council
Learning convex bounds for linear quadratic control policy synthesis
J Umenberger, TB Schön
Advances in Neural Information Processing Systems 31, 2018
Mandate: Swedish Research Council
Identifying external contacts from joint torque measurements on serial robotic arms and its limitations
T Pang, J Umenberger, R Tedrake
2021 IEEE International Conference on Robotics and Automation (ICRA), 6476-6482, 2021
Mandate: US Department of Defense
Optimistic robust linear quadratic dual control
J Umenberger, TB Schön
Learning for Dynamics and Control, 550-560, 2020
Mandate: US National Science Foundation, US Department of Defense, Swedish Research …
Nonlinear input design as optimal control of a Hamiltonian system
J Umenberger, TB Schön
IEEE Control Systems Letters 4 (1), 85-90, 2019
Mandate: Swedish Research Council
Specialized algorithm for identification of stable linear systems using Lagrangian relaxation
J Umenberger, IR Manchester
2016 American Control Conference (ACC), 930-935, 2016
Mandate: Australian Research Council
Distributed identification of contracting and/or monotone network dynamics
M Revay, J Umenberger, IR Manchester
IEEE Transactions on Automatic Control 67 (7), 3410-3425, 2021
Mandate: Australian Research Council
Bayesian identification of state-space models via adaptive thermostats
J Umenberger, TB Schön, F Lindsten
2019 IEEE 58th Conference on Decision and Control (CDC), 7382-7388, 2019
Mandate: Swedish Research Council
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